https://grdspublishing.org/index.php/people <div id="focusAndScope"> <p style="text-align: justify;"><strong>ISSN 2454-5899</strong></p> </div> en-US editor@grdspublishing.org (Editor, PEOPLE: International Journal of Social Sciences) info@grdsweb.com (Dr. Davis Lazarus) Sat, 15 Mar 2025 00:00:00 +0000 OJS 3.3.0.13 http://blogs.law.harvard.edu/tech/rss 60 https://grdspublishing.org/index.php/people/article/view/2632 <p><em>Time series forecasting is a significant domain, in fields</em> <em>such as economics, finance, and weather forecasting. The paper assesses time series forecasting that project forward-looking values based on on historical data<span style="text-decoration: line-through;">. </span>The common models used to capture the trend, seasonality, and anomalies within the time series data are ARIMA, SARIMA, and exponential smoothing. Forecast accuracy depends on the model choice and fine-tuning. &nbsp;Validation and continuous refinement are necessary for reliability and adaptability to changing conditions. Time series forecasting is a valuable tool for decision-making, resource allocation, and planning. An ARIMA model forecasted Albanian exports, providing reliable forecasts for the near future and prioritizing recent observations over past data. One drawback is that new data were not applied to different models for improving future forecasts. Given Albania’s reliance on exports, periodic validation and refinement of model-building are critical. The ARIMA findings recommend 3, 2, and 3, applied in forecasting. Forecast errors were tested, proving model efficiency. Performance may vary by situation, so model assessment over time is essential. These models help researchers forecast Albania's annual exports.</em></p> Brikena Sulejmani Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0 https://grdspublishing.org/index.php/people/article/view/2632 Tue, 25 Mar 2025 00:00:00 +0000 https://grdspublishing.org/index.php/people/article/view/2633 <p><em>This paper is b</em><em>ased on the project work developed by the authors for the executive master's in strategic management and leadership of health organizations, which was attended at the University of Pavia in 2021-2022.The relationship between regulatory and organizational complexity in the healthcare context and the relationship with the patient/citizen is deemed to require i) the implementation of new leadership styles, ii) the dissemination of non-technical skills, iii) the implementation, structured and specific, of participatory processes so that public action is implemented in a tailor-made way for the need of the community for which it was thought, iv) a new mode of communication between stakeholders and institutions so that the ethics of the relationship and communication, transparency, and accountability become the pivot of a new mode of interaction. The project work started by describing the difficulty of managing and interpreting a health context's regulatory and organizational complexity (particularly for hospitals). It then traced a possible mode of interaction between stakeholders and institutions. This article condenses the conclusion of our project work. The content of this article expresses only the views of the authors. None of the opinions can be linked to the organizations the authors work for.</em></p> Franco Milani, Antonella Eliana Sorgente Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0 https://grdspublishing.org/index.php/people/article/view/2633 Sat, 15 Mar 2025 00:00:00 +0000